Jackknife bias correction of the AIC for selecting variables in canonical correlation analysis under model misspecification-Reference-Cited by-同舟云学术

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Jackknife bias correction of the AIC for selecting variables in canonical correlation analysis under model misspecification

Published:2014-08 Issue: Volume:455 Page:82-106
ISSN:0024-3795
Container-title:Linear Algebra and its Applications
language:en
Short-container-title:Linear Algebra and its Applications

Author:

Hashiyama Yusuke,Yanagihara Hirokazu,Fujikoshi Yasunori

Funder

Ministry of Education, Science, Sports, and Culture

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference38 articles.

1. Methods of Multivariate Statistics;Srivastava,2002

2. Applied Multivariate Analysis;Timm,2002

3. Canonical correlation analysis of multiple sensory directed metabolomics data blocks reveals corresponding parts between data blocks;Doeswijk;Chemometr. Intell. Lab.,2011

4. Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis;Khalil;J. Hydrol.,2011

5. Canonical correlation analysis of procrastination, learning strategies and statistics anxiety among Iranian female college students;Vahedia;Procedia Soc. Behav. Sci.,2011

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A high-dimensional bias-corrected AIC for selecting response variables in multivariate calibration;Communications in Statistics - Theory and Methods;2020-01-16

2. High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices;Journal of Multivariate Analysis;2017-05

3. Model Selection in Finite Element Model Updating;Probabilistic Finite Element Model Updating Using Bayesian Statistics;2016-10-18

4. Canonical Correlation Analysis for Geographical and Chronological Responses;Procedia Computer Science;2016

5. Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality;Hiroshima Mathematical Journal;2015-07-01

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